Nvidia's Computational Lithography Breakthrough

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[gamingmarcus]

I think the silicon industry is the equivalent of the modern space race. It just goes to show what insane advancements science can make with collaboration and a good amount of financial incentive behind it.
It never ceases to amaze me how much further we can push this single element and I'm curious what will lie beyond the silicon lands.

[Gojo_Satorou]

this guy is just insane, being a Mat sci PhD student, I can resonate to how many hours of research and literature review goes into making one of these videos. Keep up the good work bro!

[howardlandman]

I was in IC design from 5000 nm NMOS down through 65 nm CMOS. Thanks for catching me up on 2 decades of progress!

The Vivek Singh in that paper was the same person. He was leading the computational lithography group at intel before he joined Nvidia.

[Czeckie]

I've seen every talk by Aki Fujimura about curvilinear masks. Being a mathematician, I find ILT the most fascinating part of chip manufacturing.

[anton_s]

This channel has given me a passion for photolithography. I'm proud to say that as a second year student I'm currently interviewing with onSemi, microchip, synopsis and MKS thanks to the interest you sparked in me for this field

[LoveBbyJay]

Thank you for another fantastic video Asianometry!! Your videos are some of my most beloved YouTube videos! Keep up the amazing work!!

[seanc]

That lithography machine that ASML makes is literally magic to me

[VidaDigital]

They definitely did have many of the world's 486+ million Spanish speakers talking about cuLitho...

[IndianCyclistinGermany]

This is by far the best video from Asianometry. I thought the videos on High-NA EUV would have already been challenging, but looks like the bar is now raised even higher. Kudos to the great work. Looking forward to more videos with such high quality content.

[dwinsemius]

For a couple of years I had been scratching my head trying to figure out how feature-sizes could be so much smaller than the wavelengths of light, even "extreme" UV. I met a guy in a brewpub that works for Nvidia who helped get some understanding but this added a bit more. Still learning. Thanks.

[biomagic]

the more i know the more fascinating it gets. thank you for producig this kind of videos!

[nasacort]

10:54 - Yes, Vivek was formerly the head of the computational lithography group at Intel.

[ibrremote]

This video is a great introduction for laymen into the history of litho for wafer fab. Still a but technical on the jargon, but accessible to most who would pay attention.

[kubetail]

Mathematically, a lot of these computations are numerical inversions. OPC could be considered a crude numerical inversion depending on how it's done exactly. Typically, you have inputs and a mathematical model that gives an output. In an inversion, you know the output, but either the input or model is unknown. If the initial paper used simulated annealing, the computations most likely minimize the L2 norm, which is a classical numerical inversion technique. I imagine they have been predominately using Bayesian inversion in ILT. That gets very computationally intensive when you add complexity to Bayesian Inversion, but it is more flexible, and uncertainty quantification is given because the method involves probability distributions. I don't know what CuLitho uses, and it's hard to verify on the internet. I was thinking of AI Inference because NVIDIA has been using ML in GPU design recently. There are so many inverse problems in science. If it's a remote measurement or you are trying to determine the interior of an object from an exterior measurement, then it's most likely an inverse problem.

[HVH_]

As an electrical engineer, this video is amazing because I'm currently trying to get into the IC industry. Thanks for the high-quality videos.

[ebx]

I was taking a VLSI course back in the early 80's, and for a class project had to write and use a LISP design rule checker. At work the lab next to me had a DEC minicomputer. I asked for several seconds of CPU time to verify my chip design. It actually took several hours of CPU time. Not exactly lithography, just a lesson about how much computational power is required to design even a VLSI sized chip.

[MicrophonicFool]

There is something very calming about your videos.

[Jacmac]

It's worth mentioning that this will not have any kind of major impact on the actual throughput of the production of the wafers. There were some channels that saw this Nvidia breakthrough news and got carried away with the idea that throughput would be 10X faster or whatever. This will help speed up design, the throughput is still the same.

[evinoshima]

Interesting comment about using computers to make computers faster. In 1978 my first job was making circuit boards for Motorola 6802 based industrial computer. It controlled a retrofit to a K&S 478 wirebonder making it automatic by targeting 2 points on the die and pushing the button. We had no drill for to make the PCBs so we took the computer we made and bolted on so big stepper motors and turned the wirebonder into a drill for the circuit boards. A vacuum cleaner was the dust collector. Our customers when the toured the factory would stop at this homemade hack of a machine, and ponder. Many commented "wow, the machine is making itself!" Indeed....